Narrative and Interpretation on Twitter: Reading tweets by tellingstories
Sadler, N. (2018). Narrative and Interpretation on Twitter: Reading tweets by telling stories. New Media &Society, 20(9), 3266-3282. https://doi.org/10.1177/1461444817745018
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Narrative and Interpretation on Twitter: Reading tweets by telling stories Abstract Existing research on communication on Twitter has largely ignored the question of how users make
sense of the fragmentary tweets with which they are presented. Focusing on the use of Twitter for
political reporting in post‐revolutionary Egypt, this article argues that the production of mental
stories provides readers with a mechanism for interpreting the meaning of individual tweets in
terms of their relationships to other material. Drawing on contemporary narratology, it argues that
Twitter exhibits key elements of narrativity, but that a creative reading process is nonetheless
required to transform this incipient narrativity into coherent, sense‐making mental narratives. This
foregrounding of the reader’s creative role makes stories on Twitter highly fluid and dynamic.
Through reference to classic critical theory, I propose that this nonetheless represents an evolution
rather than a radical break from earlier forms of narrative reception, which in many cases demanded
similarly creative reading practices.
Keywords Twitter, narrative, interpretation, reader‐response, sense making, narratology, computer mediated
communication
Introduction Over recent years, the social networking site (SNS) Twitter has been increasingly recognised as an
important venue for news reporting. Since the Iranian protests of 2009, and especially following the
Arab uprisings of 2010/11, it has become the norm for Twitter users around the world to report on
major (and minor) political events in minute detail, producing vast quantities of information. Yet
while political reporting was once largely synonymous with storytelling, and it would have been
unproblematic to characterise journalists as storytellers, the role of narrative in reporting on Twitter
is less clear. Twitter is in one sense emblematic of Manovich’s (2001) proposed shift from narrative
to database; hashtags and other kinds of “searchable talk” (Zappavigna, 2015), for example, are
more firmly grounded in the open‐ended and retrieval based logic of the database than the linear
and bounded logic of the narrative. Hermida (2010, 2014), moreover, argues that the growth of
Twitter and other SNSs has produced “ambient” forms of reporting, where small fragments of
information are constantly added without the need for an overarching structure. He characterises
this as a fundamental move away from the story format: “Twitter breaks with the classic, narrative
structure of journalism, and instead creates multifaceted, fragmented, and fluid news experiences”
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(Hermida, 2014: 365), mirroring similar arguments by Bruns (2005, 2010) concerning a broad shift
from news as complete and pre‐packaged stories and reflecting earlier arguments that narrative has
been fundamentally transformed in the digital era (Alexander and Levine, 2008; Landow, 1997).
An alternative approach, differing at least in emphasis, can be seen in the work of Zizi Papacharissi
and her collaborators (Meraz and Papacharissi, 2013; Papacharissi, 2015b; Papacharissi and De
Fatima Oliveira, 2012). They largely accept the notion of “ambient” reporting on Twitter, but argue
that political Tweeting remains fundamentally concerned with storytelling. Rather than an
abandonment of narrative, it is the way in which stories are produced that represents the greatest
break from the past – instead of being told by individuals to clearly defined audiences, stories are
told collectively, although not necessarily collaboratively, by large numbers of users. Through such
collective action, and the influence of elite users with large followerships, loosely defined, but
nonetheless relatively stable, narrative constellations – groups of tweets loosely bound together
through the repetition of keywords and hashtags and connections established through networks of
retweeting and favouriting – emerge over time. Discussing the articulation of Palestine on Twitter,
for example, Siapera argues that “the narrative on Palestine is co‐constructed, often in real time, by
a host of produsers who tweet from their own position and perspective” (my emphasis, Siapera
2013: 552). From this perspective, many people, often with different or even conflicting agendas
(Papacharissi, 2015a: 80), may contribute to the storytelling process, but the result is nonetheless
puportedly a single, recognisable narrative.
A third approach, inspired by the pioneering work of Ochs and Capps (2001), draws parallels
between storytelling practices on SNSs and the fragmentary and collaboratively produced narratives
of everyday dialogue (e.g. Dayter 2015; Georgakopoulou 2014; Page 2010). Scholars writing from
this perspective argue that the “small stories” of everyday interactions should be considered the
archetypical form of narrative, rather than the well‐formed and globally coherent narratives of
literature. Storytelling thus becomes primarily a dialogic form of collective and collaborative sense‐
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making, rather than a single narrator telling a clear and coherent narrative to a passive audience.
This approach suggests that the fragmented and distributed forms of storytelling seen on SNSs are
largely in keeping with the prevailing narrative practices of everyday life, if not with the literary
models emphasised in much traditional narrative theory. What these approaches share is a concern
with narrative production. Although they have brought important insights, the other side of the
equation, narrative reception, has received far less attention. It is with this issue that this article is
concerned ‐ with reading tweets as narrative, rather than with telling stories on Twitter.
To this end, it attempts to answer three questions. 1) Why read Twitter as narrative? While
accepting that reading tweets reporting political events as narrative is not the only possible
approach, I draw on diverse scholarship on the relationship between storytelling and sense‐making
to argue that narrative, understood as a cognitive mode, offers the promise of turning vast numbers
of atomistic fragments into comprehensible and interpretable units. 2) To what extent does Twitter
enable narrative readings? In this section, I explore the distinction between narrative and narrativity
with regard to Twitter. I argue that although readers are not presented with readymade narratives
on Twitter, the platform, as experienced by readers, exhibits strong narrativity, enabling, if not
requiring, fragmentary tweets to be interpreted as nodes within larger mental narrative ensembles,
constituted through the act of interpretation. 3) What does reading Twitter as narrative entail? In
the final section, I explore the reading process that Twitter demands. I argue that readers must
engage in a highly creative interpretive practice in order to read Twitter in terms of narrative as they
supply the key elements of a teleological structure and narrative boundaries, giving interpretations
scope to vary significantly from reader to reader and suggesting it is reductive to treat narratives on
Twitter as multi‐authored, but ultimately static. Through reference to literary and reader‐reception
theory, however, I propose that the creative input demanded from readers on Twitter is different in
scale, but not fundamentally in kind from the creative acts demanded by all narrative
interpretations, no matter how stable texts first appear. I draw my examples from Twitter reporting
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of political events in Egypt since the 2011 uprising that led to the overthrow of long‐serving dictator
Hosni Mubarak.
Why read Twitter as narrative?
In his influential monograph, The Language of New Media, Manovich (2001) argues that we are
witnessing a general shift from the dominance of narrative towards database forms of organising
information. In this context, narrative becomes “just one method of accessing data among many”
(Manovich, 2001: 220). Although published five years before Twitter’s launch in 2006, Manovich’s
words have important implications for the way we think about the presentation of information on
Twitter. At first glance, the site is structured much more like a database than a traditional narrative –
it functions as a database of billions of individual tweets which can be easily retrieved through
searches and are not presented in the clearly defined linear sequences typical of narrative. As
Manovich predicted, data can be retrieved in multiple ways – users receive the tweets of those they
follow on their home timelines; they can visit the timelines of individual users; they can search for
tweets based on their content or metadata. Depending on the approach chosen, the time at which
retrieval takes place and, owing to Twitter’s algorithm‐based attempts to deliver relevant content,
the characteristics of the searcher, different users are presented with different data. The
presentation of information on Twitter is therefore clearly some distance from that of a traditional
narrative. Why, then, would a user choose to interpret Twitter in terms of narrative? The answer, I
suggest, is also provided by Manovich: “if traditional cultures provided people with well‐defined
narratives (myths, religion) and little “standalone” information, today we have too much information
and too few narratives that can tie it all together” (Manovich 2001: 217). This emphasises that
narrative is not only a form for the presentation of information but also a means for sense making.
As scholars including Mink (1970, 2001), Polkinghorne (1988) and Bruner (1986, 1991) have argued,
narrative is one of the primary cognitive mechanisms available to us for making sense of the world. It
functions as a “basic human strategy for coming to terms with time, process, and change” (Herman,
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2009: 2) by allowing us to imbue events with a sense of “coherence and continuity” (Mishler, 1990:
427/8). It allows us to see concrete, atomistic occurrences in terms of their relationships to larger
wholes. It is from these relationships that the perceived significance of individual elements is
produced – meaning does not inhere within events themselves. Causal links are the most important,
although not the only, type of relationship (Bruner, 1991; Richardson, 1997; Somers, 1994; Todorov,
1981). It is this emphasis on causality that furnishes narrative with its power to explain how
situations came to be and project what their implications will be. The same event emplotted in
different narratives, characterised by different networks of relationships, can take on wholly
different meanings. Contrast, for example, the conflicting narratives regarding the overthrow of
Egypt’s Muslim Brotherhood‐affiliated president Mohammed Morsi by the Egyptian Armed Forces
on 3 July 2013. Supporters of the Brotherhood by and large presented Morsi’s removal as a grab for
power by the Army and as a major step away from democracy. Many of Morsi’s opponents, on the
other hand, presented the Army’s actions as an exercise of the popular will, essential to save Egypt’s
nascent democracy. Opponents of the 2011 revolution presented the Army’s actions as a correction
of the “mistakes” of the 2011 revolution while many liberal commentators viewed the Military’s
actions as concerning but unavoidable given Morsi’s autocratic behaviour as president. The material
facts of the military intervention remain the same in each of these narratives, yet interpretations of
the justifiability and implications of the Armed Forces’ actions change greatly, depending on the
causal networks within which they are positioned.
The issue of narrative wholeness raises three key points for the present discussion. First, the
positioning of individual elements within larger wholes allows for the functioning of the hermeneutic
circle – the constant metonymic movement of interpretation that allows us to understand the
significance of the whole in terms of its parts, and the significance of the parts in terms of the whole.
Significantly, the whole in question does not precede the act of interpretation but is rather a result
of it. The unity and boundedness implied is “synthetic” (Dray, 1971) in that it has no ontological basis
in the world prior to interpretation by human actors. Complex phenomena such as the “Arab Spring”
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or “Egyptian Revolution” come into being as discrete units that form the contexts for the
interpretation of individual occurrences through the interpretation of those individual occurrences.
That such narratives are collectively negotiated and produced means they are not fully under the
control of any individual narrator. Second, the necessary obverse of wholeness is exclusion – to
identify what is “inside” is also to define what is “outside”. The narrative mode therefore also
provides a mechanism for identifying what constitutes the relevant context of interpretation, as
perceived by the interpreter, rather than requiring us to interpret everything in terms of everything
else, thus playing an important, if potentially dangerous, simplifying role (Ochs and Capps, 2001).
Third, it draws attention to the issue of narrative closure. Many narrative theorists, following
Aristotle, contend that a teleological beginning, middle and end structure is a defining feature of
narrative and essential component of wholeness. Although all narratives must at least imply an
origin, it is commonly held that it is endings that play the most significant part in shaping the overall
meaning of narratives (Brooks, 1984; Burke, 1950; Kermode, 1967; Sternberg, 1992; Wolf, 2003). An
end need not be directly supplied (Carroll, 2007) but must be at least implied and projected.
The information expressed in individual tweets is necessarily limited. The value of reading Twitter in
terms of stories therefore lies in narrative’s power to create sense from jumbled and fragmentary
information by interpreting it in terms of larger narrative ensembles. Consider, for example, the
following tweet by Egyptian activist Mahmoud Salem (@Sandmonkey), reporting on the clearance of
Muslim Brotherhood (MB) protestors from public squares in Cairo in 2013:
Trains all over Egypt are stopped. Reports that major roads into Cairo are also blocked. The security forces is stopping MB reinforcements 12:22 14/08/13
Taken in isolation, this tweet, which uses 138 of a maximum of 140 characters, communicates little
and leaves key questions unanswered: Why have trains been stopped? What and where are the
Muslim Brotherhood trying to reinforce? It scarcely constitutes a narrative, or even a “small story”
(Dayter, 2015; Georgakopoulou, 2007) in its own right. We can only make sense of individual tweets
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like this by fitting them into larger narrative wholes which provide the necessary context to identify
how these events came to pass and what their future significance is likely to be. This does not simply
mean reading tweets in terms of their relationships to other tweets. As Chadwick (2013) and Page,
Harper and Frobenius (2013) recognise, Twitter is not used in isolation and individual tweets are not
merely read in relation to other tweets which together constitute “digital objects” (Murthy, 2013);
readers of this tweet from Salem might relate it to articles in the press, TV news reports, comments
from friends, statements by politicians and so on almost ad infinitum, resulting in narratives which
stretch across many platforms and are almost impossible to trace. Nor are the resulting narratives
necessarily stable. Readers may continue to entertain multiple possible explanations, which evolve
as more tweets are posted and more information becomes available.
Narrative’s tendency towards exclusion, compared to database’s emphasis on inclusion (Hayles,
2007), allows interpreters to navigate the huge volume of data with which they are presented
without being overwhelmed. Rather than trying to interpret in the manner of a database, ever
hungry for more data, the narrative mode provides a mechanism to cut through the noise on
Twitter, disregarding vast amounts of information as irrelevant to the storied interpretation at hand.
It provides a means for transforming ambient news into coherent mental narratives. This highlights
the importance of distinguishing between production and reception. It is simple to publish
fragmentary reports of events on Twitter. Twitter culture’s oft‐mentioned emphasis on instantaneity
and immediacy (Hermida, 2013; Page, 2010, 2013; Papacharissi and De Fatima Oliveira, 2012) has
led to a situation where users frequently share information, adding to the database, without
necessarily having a clear idea of its (in)significance. If Twitter is to be read as meaningful, however,
narrative cannot be done away with so easily. As Hayles (2007), and indeed Manovich (2001), note,
the growth of the database does not obviate our need for narrative.
Narrative is clearly not the only way of interpreting Twitter. The “paradigmatic” mode, characteristic
of scientific writing and argumentation (Bruner, 1986; Mink, 1970; Polkinghorne, 1988), based
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around universal laws and truth conditions rather than specific relations between concrete
happenings, can also be used to make sense of Twitter. Tweets about the Tunisian uprising of 2010,
for example, can be interpreted through reference to general theories of revolution, rather than
through what they say about specific events taking place in specific places. In recent years,
moreover, producing visualisations of patterns of interaction between vast numbers of tweets and
users has become a popular method for making sense of vast datasets scraped from Twitter and
other SNSs (see Halpern 2015 on the growth and development of data visualisation). Both
approaches can analyse and represent far larger volumes of data than narrative methods but
ultimately produce fundamentally different types of understanding and explanation, grounded in
appeals to universality and spatial and distributional metaphors rather than the relatively linear
chains of cause and effect characteristic of narrative. Nonetheless, there are three main factors that
encourage interpretations grounded in the logic of narrative, at least in the context of political
reporting.
First, and most obviously, human readers are not computers. This immediately makes visualisation‐
based understanding impractical in day‐to‐day use of SNSs for most users. Second, the interpretive
mode brought to bear depends on the purpose to which the interpretation is directed (Rorty, 1992).
To explore the relationships and interactions between users tweeting about the Occupy Wall Street
protests of 2011, for example, visualisations showing likes, retweets and @replies of the kind
presented in Papacharissi (2015a) are ideal. If our goal were to be that of developing our
understanding of anti‐capitalist protest discourses, conceived as an abstract category, we might
produce and analyse a corpus of tweets tagged with #OWS or #Jan25. Yet to understand the
significance of protests in their own unique particularity, how they developed over time and what
their causes and consequences were, narrative interpretation is demanded. Fitting fragmentary
reports of events into larger narrative units is the only way to convert that barrage of information
into situated knowledge of the unique characteristics of specific events and their significance.
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Second, there is a basic human propensity, which appears to be a rare human universal, for seeing
the world in terms of narrative. Fisher (1987: 24) argues that we “experience life as a series of
ongoing narratives” while Ricoeur proposes that there is a “prenarrative quality” of human
experience – our experience of the world may not provide us with ready‐made stories but
nonetheless contains the ingredients necessary for narrative interpretations to be possible. Crites
(1971) and Carr (1997), following Husserl, go further, arguing that it is impossible to perceive events
without their being filled with meaning as a result of their relationships with earlier and subsequent
events. In different ways, both argue that storytelling is deeply engrained in the act of perception
itself – rather than a two‐stage process of perception with narrative situated at a second, sense‐
making stage, events are storied as we first perceive them. Events cannot be voided of explicit or
implicit relations to other events, relations which greatly shape the form we understand them to
take, with the consequence that events, as we perceive them, are effectively constituted rather than
merely described by the narratives in which they appear (Bruner, 1987; Mink, 1970). Polkinghorne
(1988) and Bruner (1991) argue that the narrative mode is particularly well suited to understanding
intentional human action, precisely the kind of action we see strongly emphasised in political
reporting on Twitter. If it is true that these factors often, if not always, lead us to interpret our
experience of the world in terms of stories, there is nothing to suggest that we would be any less
strongly disposed to read Twitter in terms of narrative.
The third factor lies in the extent to which Twitter presents information in a manner which enables
narrative interpretation. Far from representing a radical break from narrative, there are a number of
factors concerning communication on Twitter which facilitate narrative interpretation. Given the
complexity of this issue, it demands a more thorough treatment in a section of its own.
Twitter and storied interpretation: from narrative to narrativity
The approach to narrative elaborated in the first section describes it as a primarily mental
phenomenon. Stories are the product of a sense‐making cognitive function rather than pre‐existing
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textual objects. From this perspective, stories, as they exist in the minds of interpreters, are guided
by, but irreducible to, narrative texts, which function only as “blue‐prints” (Ryan and Thon, 2014).
Adopting a similar approach from a reader‐response theory perspective, Iser (1974) describes the
material appearing on the page as “texts” and interpreted narratives, as they exist in the minds of
readers, as “works”: “the work is not identical to the text and is more than the text as the text only
takes on life when it is realised [through the act of interpretation]” (Iser, 1974: 274). Such
perspectives highlight that stories are not reducible to the texts from which they are produced and
that interpretation is always an active process, an idea I explore in detail in the final section. If
narratives exist in the mind, rather than on the page, it is consequently impossible to define texts as
either narrative or non‐narrative. Reflecting this, contemporary narratology avoids binary
distinctions between narrative and non‐narrative texts and talks instead of narrativity – the extent
to which texts exhibit key features which enable and encourage narrative responses. Narrative can
therefore be viewed as a “fuzzy” (Ochs and Capps, 2001) or “prototypical” (Wolf, 2014: 129)
phenomenon with texts displaying greater or lesser amounts of narrativity (Herman, 2009). This
makes it possible to discuss a scale of narrativity (Wolf, 2002) ranging from strong, for example
traditional fairy tales, to weak, as in certain sculptures or musical compositions which merely hint at
a narrative structure (Wolf, 2003), requiring significant input from readers if they are to be
interpreted as narratives.
There is considerable disagreement, however, as to what the defining features of narrativity are.
Bruner (1991), for example, identifies ten key features; Ochs and Capps (2001) five; Page (2010),
studying Facebook, three; Somers and Gibson (1994) four; Sternberg (2010) three and Fludernik
(1996) just one. These differences are indicative principally of differing areas of focus, rather than of
contradiction, but show that there can be no single, all‐encompassing definition. Following the
approach elaborated in the previous section, four features are particularly salient in terms of
narrative as a sense‐making tool for Twitter: relationality; temporal and spatial specificity; causal
emplotment; and wholeness. Clearly, user behaviours on Twitter are too diverse for definitive
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statements regarding the narrativity of Twitter. Nonetheless, the site has two main characteristics
which imbue it with significant narrativity and facilitate narrative readings.
First, a significant proportion of tweets, especially in the case of political reporting, are concerned
with the relation of temporally and spatially specific events. This is crucial given, as argued in the
previous section, temporally and spatially specific events are the basic stuff of stories, without which
there can be no narrative. During the 2011 Egyptian uprising, for example, users posted millions of
tweets detailing major and minor happenings, covering everything from former President Hosni
Mubarak’s resignation on 11 February 2011, to the movements of security forces, down to mundane
details such as where food and drink were available in Tahrir square. Consider the following tweets
posted by the prominent Egyptian citizen journalist, @Zeinobia, on 25 Jan 2011:
7000 protestors are having a sit in in Alexandria at Misr station #Jan25 #Egypt 12:26 25/01/11
thousands of protesters are heading to Alexandria Bibliote. to have a sit in there 12:28 25/01/11
tear gas grenades are being fired now at Tahrir square #Jan25 12:37 25/01/11
the twitter website is blocked in Egypt , we are using alternatives like applications and proxies software#Jan25 12:47 25/01/11
there is unconfirmed news of Curfew !!! #Jan25 12:55 25/01/11
people are speaking about new protests across the country tomorrow #Jan25 13:02 25/01/11
Individually, these tweets tell readers little about what was happening and even less about the
significance of the events they describe. Nonetheless, if read together, they provide the necessary
base material for interpreters to produce detailed mental narratives of the events of the period.
Second, tweets are generally presented in reverse chronological orderi, and, at least in the context of
political reporting, events are frequently reported on Twitter in near real time with the order in
which they appear on Twitter closely matching their real‐world chronology, as in the tweets from
@Zeinobia shown above. This form of presentation, coupled with a strong emphasis on reporting
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temporally and spatially specific events, makes Twitter closely resemble what historians describe as
“chronicle”ii (Cronon, 1992; Danto, 1985; Walsh, 1958; White, 1980), a resemblance Page (2010) has
also noted with regard to Facebook status updates. Chronicles are lists of chronologically ordered
events which nonetheless exhibit comparatively weak narrativity due to their omission of explicit
causal links between events and lack of an overall archaeological and teleological structure. While
narratives conclude, chronicles merely stop (White, 1980: 27). Yet as Cronon (1992) and Danto
(1985: 122) argue, it is difficult to read chronicles without fitting their constituent elements into an
overarching plot, in other words by reading them in terms of their positions within a narrative
whole. Cronon (1992: 1351) proposes that “in a chronicle we easily lose the thread of what was
going on at any particular moment. Without some plot to organize the flow of events, everything
becomes much harder—even impossible—to understand”. Although chronicles may lack key
elements of narrativity, they still call for narrative interpretation. Yet to do so, readers must go
beyond the chronicles with which they are presented and adopt a creative role to transform them
into meaningful mental narratives through the provision of global structure and coherence
(discussed in the final section).
There are two key reasons for this chronicle‐like presentation of events. First, the platform’s 140‐
character limit makes fragmentation unavoidable – users have little space within individual tweets to
both describe occurrences and contextualise them in terms of their relations to other happenings.
This compels Twitter users to make frequent use of ellipsis and implicature, relying on readers to
supply missing information and position the events reported in individual tweets into overarching
plots. As discussed in more detail in the final section, interpretation always requires input from
readers, yet, in traditional forms, writers can greatly influence the way readers do this by using
storytelling techniques to limit and control the range of likely interpretations (Herman, 2013). As
Bruner (1991: 8) argues, “great storytellers have the artifices of narrative reality construction so well
mastered that their telling pre‐empts momentarily the possibility of any but a single interpretation”.
It would be wrong to suggest that Tweeters have no control over reader interpretations – they retain
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the ability to “selectively appropriate” (Baker, 2006; Somers and Gibson, 1994), choosing what to
report and draw attention to, and also make strategic use of images, videos and links to material
hosted off Twitter to influence interpretation. They can also contextualise individual events, as in the
following from the Egyptian analyst @Bassem_Sabry, posted during the final hours of the Muslim
Brotherhood‐affiliated government of Mohammed Morsi:
Cant find other explanation for Morsi's ability to standoff except idea he's scaring the military that his supporters can use violence. 16:23 02/07/13
Morsi's "tweet" will really heat things further, also shows that it's likely the president had no other communication option but to "tweet." 13:52 02/07/13
Yet Twitter’s fragmentation greatly limits tweeters’ ability to control readers’ responses to their
tweets, regardless of their storytelling skill, continuing the gradual lessening of authorial control and
weakening of Foucault’s ‘author‐function’ (Foucault, 2003), noted by Cover (2006). Twitter users can
(and do) use multiple tweets to produce more detailed accounts than is possible in individual tweets
yet can never be sure which of their tweets will be read by which readers and in what orderiii.
The second is a broader cultural shift in journalistic and communicative practices from providing
clearly defined narratives which offer relatively stable meanings to providing information which
allows for the production of sense‐making narratives, but less strongly guides the resultant
meanings. Stories, in so far as they can be said to exist on Twitter, are fragmented and dispersed,
never closed or whole (Hermida, 2014; Meikle, 2016; Meikle and Young, 2012). Only rarely do
individual tweets appear as part of relatively clearly bounded narrative sequences (see Page (2013)
and Sadler (2017) for examples of exceptions to this norm). As Bruns (2005: 58) argues, we are
witnessing a shift from journalistic storytelling practices that “make sense of the world for us” and
towards the provision of information that enables us to “make sense of the world for ourselves”,
where we must draw our own connections between diverse happenings in order to interpret their
significance to a far greater extent. This shift led Alexander and Levine to argue that,while stories
were traditionally “told by one person or by a creative team to an audience that is usually quiet,
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even receptive” they are now “open‐ended, branching, hyperlinked, cross‐media, participatory,
exploratory and unpredictable” (Alexander and Levine, 2008: 40). Rather than seeing coherent and
whole stories published on Twitter, individual fragments are posted – the task of assembling them
into bounded and comprehensible narrative units is left to readers. It is to the process required to
achieve this that I now turn.
What does reading Twitter as narrative entail?
To read sequences of chronologically ordered events on Twitter as narrative therefore demands
creative input from readers. They must frequently supply causal links, determine the relations
between events and produce an interpretation of an overall teleological structure. To what extent
does this represent a break with earlier reading practices? Critical theorists have been studying
issues similar to those discussed above for decades, beginning long before the emergence of SNSs.
To begin with the supply of supplementary information, Iser (1974), following Ingarden (1979/1931),
emphasises the ubiquity of “gaps” in narrative texts which must be filled by readers with the
consequence that all narrative texts demand “overreading” (Abbott, 2002),as readers fill in
information not provided in the original stimulus in order to enable a cohesive mental narrative
interpretation. Gaps mean that all narrative texts possess “hermeneutic potential” (Kermode, 1979)
and enable variant readings. Barthes (1975a) goes as far as to claim that the human tendency to
read causality where none is explicitly expressed is the basic wellspring of narrative and one of its
defining features. Similarly, it is hardly unusual for literary narratives to withhold obvious closure,
instead leaving readers to draw their own conclusions as to the significance of events that have been
explicitly narrated based on the future events they anticipate. The problem with approaches to
narrative such as Alexander and Levine’s (2008), therefore, lies not in their characterisation of web
2.0 narratives as open and branching, but in their implication that traditional narratives are static
and unchanging. As Ricoeur (1991: 26) argues, the process of narrative composition has always been
completed in the reader, not the text.
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Similarly, the boundaries of narrative texts are never as clearly defined as they might first appear. As
argued extensively by poststructuralist literary scholars, such as Kristeva (1980) and Barthes (1975b,
1977), following earlier work by Bakhtin, texts do not exist in isolation but rather in complex webs of
dialogic intertextual relations. The meaning of texts and their constituent signs derives in large part
from their relations to other texts and the previous contexts within which words have been used.
This blurs the boundaries of texts, making it impossible for any interpretation to remain solely within
the apparent bounds of the written text in front of the reader. Yet in practice, the intertext
applicable to any individual reading is limited by the knowledge and outlook of the reader
(Riffaterre, 1980). A universal intertext may exist in theory, but in practice the intertext applied to
any given reading varies according to the reader and moment of reading. This is especially salient in
multilingual contexts, such as Twitter reporting of political events in Egypt which involves many
languages, but most prominently Arabic and English. Thus, the intertextual networks within which
tweets are positioned also vary depending on the linguistic competence of the reader, on the basis
that readers cannot read tweets in terms of their dialogic relations to material written in languages
they do not understand. The narratives produced in this context by monolingual Arabic or English
readers or bilingual Arabic and English readers are thus almost guaranteed to vary significantly. The
limits of mental narratives, therefore, are never reducible to the texts on the basis of which they are
produced and variant interpretations are always possible. The creative interpretive processes
needed to transform texts, even traditional novels, into meaningful mental narratives mean that
stories are never as “ready‐made, packaged [and] universally acceptable”, as Bruns (2005: 58) and
others suggest them to be.
Clearly, however, texts vary in the level of creative interpretation they require. Consequently, they
can be positioned on a cline with highly “writerly” (Barthes, 1974) or “open” (Eco, 1979) texts at one
extreme, and “readerly” (Barthes, 1974) or “closed” (Eco, 1979) texts at the other. In “open” texts,
as Castellet (2001: 50/51) argues, the reader becomes an “active agent of construction”. The more
“writerly” a text, “the less it is written before I read it” (Barthes, 1974: 10); although interpretation is
16
never completely free, interpreting highly “writerly” texts demands a creative act of “writing”. The
product of writerly processes of reading is not a static object, but an ongoing process –
interpretation remains provisional and never becomes closed or concluded (Castellet, 2001: 50). The
more “readerly” a text, on the other hand, the more it presents itself as a ready‐made object for
consumption, and the less creative input it demands from readers. There are, however, factors that
push Twitter to a degree of openness that takes it beyond the examples used by Barthes and Eco. In
all but the most experimental literature, readers are presented with an at least apparently bounded
textual stimulus. The boundaries of the text may be porous, as it bleeds into the intertext (Kristeva,
1980), but a relatively stable textual “nucleus” (Zorrilla Abascal, 2015) or core text can be identified
and a boundary between text and intertext can be drawn, even if interpretation inevitably
constantly shifts between the two. Even in highly ‘writerly’ texts where interpretations can differ
greatly, the basic semiotic content of at least the core text, from which interpretation begins, is
typically fixed. Depending on whom they follow and the search terms they use, different Twitter
users are presented with different tweets. Even in the unlikely situation of multiple users following
exactly the same group of other users, they would almost certainly see different tweets depending
on when they access Twitter, even if in principle exactly the same tweets are delivered to each of
their home timelines. The basic material from which interpretation would proceed for these users
would therefore differ, even before differences of individual interpretation and the way in which
tweets were understood to relate to the broader intertext are considered.
Tweets are rarely marked as belonging to clearly defined texts, leaving readers to decide what
should be read with what and in what order. Consequently, interpreting tweets requires not only
reading‐in causality and identifying the relations of individual elements to larger wholes, but
determining in the first instance which tweets constitute part of the “text” of interpretation itself.
Even the illusion of a bounded text is removed and readers can, and must, “write” as they read to a
significant degree. Key to this is Twitter’s inherently live nature – readers must not only interpret
pre‐existing bodies of material into comprehensible narratives, but cope with the constant addition
17
of new material, which may demand the reappraisal of previously published content. This re‐
emphasises that the narrative wholes produced are themselves only ever tentative, provisional and
subject to change. Not only can different readers interpret tweets in entirely different ways,
depending on what they read, but even the interpretations of individual readers may change greatly
as the narrative wholes within which individual tweets are positioned shift and change. They may
also entertain different narrative possibilities simultaneously. In this sense, the process of narrative
interpretation Twitter demands diverges from that described by Barthes and Eco, based as they are
on the provision of a fixed initial stimulus, albeit one characterised by uncertainty and positioned
within a changing network of intertextual relations, subsequently interpreted by readers. It comes to
approximate more closely the hermeneutic process of producing narrative interpretations of history
where, as Iser, following Droysen, suggests, “the task of interpretation is thus twofold: it has to
constitute its subject matter, and it has to furnish understanding of what has been constituted” (Iser,
2000: 59), with the added twist that the activities of reading and production are in many cases near
simultaneous. Readers must “write” the “texts” they are attempting to interpret at the same time as
making determinations of what they mean as even the relative stability granted by a fixed initial
stimulus is removed, the text/intertext boundary becomes impossible to draw and the ground
continues to shift under their feet as new material is added. As mentioned earlier, this is partly a
consequence of Twitter’s 140‐character limit which makes the fragmentary presentation of
information unavoidable. But openness can also be a conscious writing strategy, a rejection of
attempting to pin down and limit the range of possible interpretations, rather than a mere failure to
do so. The cultural shift noted by Bruns (2005) might therefore be conceptualised as an ideological
shift from the ‘readerly’ to the ‘writerly’, a shift parallel in certain respects to that observed by
Barthes and Eco in artistic production. Rather than begrudgingly accepting openness as an
undesirable but inevitable aspect of storytelling on Twitter, users subsume it “into a positive aspect
of production” (Eco, 1979: 50). We must take care not to extend this argument too far and present
Twitter as a utopian realm of free interpretation – writers continue to employ traditional and new
18
narrative techniques to influence interpretation. Yet we nonetheless see writers leaving readers to
write the story to a far greater extent than in the past. If Cover (2006) described the early and mid‐
2000s as characterised by a struggle between authors striving for narrative control and readers
eager for greater interactivity, perhaps, at least with political reporting on Twitter, authors have
finally admitted, at least partial, defeat.
Conclusion
This article has made three main arguments. First, reading tweets using the narrative mode,
although not the only way of making sense of them, provides a mechanism for effectively
contextualising fragmentary tweets within larger narrative configurations and identifying objects of
interpretation, enabling interpretation of their meaning. Second, at least in the context of political
reporting, Twitter often exhibits significant narrativity due to its chronological presentation of
tweets and events, and frequent emphasis on temporally and spatially specific occurrences, thus
facilitating narrative interpretations. Third, despite this incipient narrativity, significant creative input
is needed from readers to produce well formed, sense‐making mental narratives. Consequently,
rather than recovering pre‐existing stories, readers must use individual tweets as material for
narrative interpretations. Narrative on Twitter is thus intrinsically dynamic and dependent on reader
interpretation for its very existence, making it impossible to speak of stable narratives, independent
of their reception by readers, on the site.
My discussion has been based solely on the interpretation of political tweeting in the context of the
Egyptian revolution by users accessing material via the Twitter site itself. This highly unusual, and
very widely reported, sequence of events was undoubtedly able to command more focused
attention from many readers than reporting of day to day political events. In other situations, an
even more complex reading process may be demanded as readers collate, sort and assemble
narrative fragments pertaining to many different issues simultaneously – perhaps discussions
regarding the Ireland/Northern Ireland border post‐Brexit, accounts of the devastation caused
19
across the Caribbean by hurricane Irma, commentary of a football game, a colleague live tweeting
from a conference and so on. Such diverse subject matter demands the creation of many narratives,
at times separate from each other and at times blurring together. We must also not ignore the fact
that many advanced Twitter users employ tools such as TweetDeck or Hootsuite to manage their
Twitter feeds, producing personalised feeds grouped by factors such as hashtag, keyword or geotag.
Such tools provide a means to reduce Twitter’s inherent writerly nature, as presented here,
effectively outsourcing at least an initial degree of narrative organisation to algorithms. In other
words, they allow for a degree of narrative control to be sacrificed in exchange for a simpler and
more manageable reading experience. This further highlights the challenges of theorising reading on
the site, given the range of mechanisms available to users for sorting and accessing information.
While I have argued that the reading process Twitter demands draws on existing narrative
competencies and does not require the development of wholly “new literacies” (Hermida, 2014) or
interpretive procedures, these issues highlight that the site demands a higher degree of interpretive
input and skill than was typically seen in the past. Although readers have always had to interpret
multiple viewpoints, often representing different agendas, in the social media age readers must
mentally sort and organise vastly greater volumes of jumbled and uncategorised data than were
previously available. Nonetheless, the fact that the reading process demanded by Twitter appears to
differ from earlier forms primarily in degree rather than kind, suggests that much existing narrative
theory can be usefully employed, although in many cases extension and adaption will be necessary.
Reception studies, strangely rare in social media research, will also have an important role to play in
this regard, providing deeper insights into both the phenomenology of Twitter use and real‐world
user practices. A greater emphasis on real reader responses will also help to move away from
viewing stories on Twitter as relatively static entities, produced as the sum of huge numbers of
tweets, and towards more fluid conceptions which recognise the varied responses of real, and often
highly diverse, audiences.
20
Notes
i Since 2016, Twitter has gradually increased its use of algorithmically selected tweets, appearing out of strict reverse‐chronological sequence (Sawers, 2016; Yeung, 2016). Reverse‐chronological presentation, however remains the norm. ii This understanding of chronicle should not be confused with the journalistic genre of chronicle, popular throughout the 20th century in Latin America (González, 1993; Sefchovich, 2009). iii Although rare at the time of the 2011 Revolution, it has since become increasingly common for users to employ sequences of self‐replies to elaborate more detailed narratives, illustrating how storytelling practices on the site have continued to evolve.
21
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